EP1284646A1 - System for detecting brain activity - Google Patents

System for detecting brain activity

Info

Publication number
EP1284646A1
EP1284646A1 EP01940462A EP01940462A EP1284646A1 EP 1284646 A1 EP1284646 A1 EP 1284646A1 EP 01940462 A EP01940462 A EP 01940462A EP 01940462 A EP01940462 A EP 01940462A EP 1284646 A1 EP1284646 A1 EP 1284646A1
Authority
EP
European Patent Office
Prior art keywords
brain activity
electrodes
activity according
amplifying
identifying brain
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
EP01940462A
Other languages
German (de)
French (fr)
Other versions
EP1284646B1 (en
Inventor
José del R. MILLAN
Fabio Topani
Josep Mourino
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
European Community EC Belgium
European Economic Community
Original Assignee
European Community EC Belgium
European Economic Community
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by European Community EC Belgium, European Economic Community filed Critical European Community EC Belgium
Publication of EP1284646A1 publication Critical patent/EP1284646A1/en
Application granted granted Critical
Publication of EP1284646B1 publication Critical patent/EP1284646B1/en
Anticipated expiration legal-status Critical
Expired - Lifetime legal-status Critical Current

Links

Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316—Modalities, i.e. specific diagnostic methods
    • A61B5/369—Electroencephalography [EEG]

Definitions

  • the present invention generally relates to a brain interface system, and in particular to a system for the acquisition, processing, and classification of brain activity based on measurements of on-line EEG signals.
  • EEG's electroencephalograph devices
  • EEG's are used to measure and record small electrical signals, which occur on the surface of the scalp as a result of brain activity.
  • an EEG system includes a plurality of electrodes attached at selected positions on the subject's scalp, a corresponding number of lead wires, and a processing console.
  • each electrode is connected to the processing console via a separate lead wire.
  • the processing console is provided for signal selection, amplification, and conditioning.
  • Also included in EEG systems are means for measuring electrode impedance, calibrating equipment, and observing and permanently recording data processed by the processing console.
  • EEG signals are a reliable mirror of mental activity and accordingly could be used as an alternative means of interaction with computers.
  • the aim is to recognise from on-line EEG signals a few mental states and have them associated to simple commands for the user application to be controlled, such as "move wheelchair straight", "stop” and so on.
  • a system for identifying brain activity e.g. a brain interface of this kind, only requires users to be conscious of their thoughts and to concentrate sufficiently on those few mental tasks associated to the commands. Any other EEG pattern different from those corresponding to these mental tasks will be associated with the command "nothing", which has no effect on the computer-based system.
  • the interface should permit robust recognition of EEG patterns outside laboratory settings. This presumes the existence of an appropriate EEG equipment that should be compact, easy-to-use, and suitable for deployment in natural environments.
  • the object of the present invention is to provide a system for recognising mental states, which is better suited for the task of operating under real-life conditions.
  • the present invention provides a system for identifying brain activity, comprising a plurality of electrodes, said electrodes being arranged on a supporting structure, e.g. a cap, to be placed on a skull of a person, said electrodes for producing signals in accordance with the brainwaves of said person, amplifying means for amplifying the electrical signals sensed by said electrodes, data processing means for processing said amplified signals, identifying a specific mental state from said signals and generating a signal indicative of said recognised mental state, and transmitter means for transmitting a signal corresponding to said identified mental state to a computer.
  • a supporting structure e.g. a cap
  • the electrodes are preferably arranged on the supporting structure in such a way that, when placed on the skull of a person, the electrodes are placed in predetermined anatomical positions on the head of the person.
  • the electrodes are e.g. attached to the supporting structure so that their location is in accordance with the international 10-20 system.
  • the EEG data sensed by the electrodes is processed in the system itself and the mental state identified before transmission to a computer-controlled application. This means that only the detected state of mind has to be communicated to the computer, respectively the computer-controlled application. This of course minimises the influence of electromagnetic interference, which is a serious issue in prior art EEG systems.
  • the system of the present invention can be battery powered, enabling a complete independence from line power and a good autonomy of the system.
  • the powering by a battery pack bears the further advantage, that the system can be completely isolated from the 50/60 Hz interference of the line voltage.
  • said amplifier means, said data processing means and said transmitter means can be incorporated in a wearable housing and preferably connected to said plurality of electrodes by means of a bi-directional power and data cable.
  • wearable housing means that said housing can be attached to the body of the user by means of a belt or the like.
  • the housing further can contain the battery pack and comprise e.g. means for connecting a battery charger to said battery pack.
  • the use of a bi-directionnal data and power reduces the number of individual connecting cables, thus reducing the overall weight of the system.
  • said data processing means comprise filter means for filtering a signal pattern of a specific mental from said amplified signals. Said filter means are preferably user-specific.
  • the system for identifying brain activity comprises storage means for storing reference electrode signal patterns of the mental states to be recognised, wherein said data processing means compares the pattern of said amplified signal to the pattern stored in said storage means.
  • said reference electrode signal patterns are preferably user specific reference patterns.
  • the filter means respectively the means for comparing the sensed pattern to the reference pattern form a robust neural classifier, which is implemented at the user-worn system for reliably recognise the desired mental states.
  • the use of user-specific reference patterns respectively user specific filter means renders the system adaptive insofar that it can be optimised for the recognition of the effectively produced pattern of the user in question.
  • the main reason preventing the development of universal brain interfaces is that not two people are the same, both physiologically and psychologically. This means that the interface should be adapted to its owner, thus allowing every single user to choose his/her most natural mental tasks to concentrate on (e.g., relaxation, visualisation, music composition, arithmetic, preparation of movements). In this way, users can regularly generate those individual EEG patterns that are better distinguished by their adaptive brain interface. This of course reduces the training time for the user and greatly enhances the recognition rate of the desired mental states.
  • the amplifying means comprises pre-amplifying means, which are arranged on said supporting structure in the vicinity of said electrodes, said pre-amplifier means pre-amplifying said electrical signals from said electrodes. Amplifying the signal directly on the electrodes minimises the effects of electromagnetic interference.
  • the pre-amplifying means preferably comprise one pre-amplifier for each electrode, each pre-amplifier being mounted on and associated with a respec- tive electrode. Furthermore an analogue-to-digital converter (A/D converter) is advantageously associated with each pre-amplifier, for converting said amplified signal into a digital signal prior to communication of said signal to the data processing means.
  • the A/D-converters can be connected to the data processing means by means of a bi-directional power and data cable. It has to be noted, that
  • said system further comprises receiver means for receiving data from a computer, said data comprising configuration settings for configuring adaptable parameters of said amplifying means and/or said data processing means and/or said transmitter means.
  • said transmitter means could comprise wireless transmitting means, e.g. infrared or radio frequency transmission means.
  • the transmission means can comprise a conventional serial cable link or an optical fibre link, which has the advantage, that the system is isolated from the computer and the associated application. It should be clear that these possibilities also apply for the receiver means.
  • the present invention proposes a wearable system for complete analysis of brain activity.
  • the system has a modular architecture and consists of a compact helmet with amplified EEG electrodes, on-board processing capabilities and flexible communication facilities.
  • the hardware can easily be controlled by software that sets the suitable parameters. This allows the system to pre-process the data by hardware if necessary. Exploiting this option, some operations can be followed, e.g. removal of the 50/60 Hz electromagnetic interference, spatial filters, reference signal adaptation, monopolar and bipolar channel configuration etc.
  • a suitable EEG-signal processing means for feature extraction and a robust neural classifier are implemented to reliably recognise the desired mental states.
  • the main advantages of the system according to the present invention include wearability, modularity and the analysis of the data at hardware level. Amplifying the signal directly on the electrodes minimises the effects of electromagnetic interference. This advantage, the small dimensions and the low weight allow the system to operate in any environment.
  • An easy-to-use interface can be used to control the configuration of the system by software.
  • the recognised mental states can be sent to the computer-controlled application through any communication method, e.g. conventional serial cable, optical fibre, infrared or radiof- requency transmission (e.g. bluetooth protocol), or other technologies to meet the specific needs.
  • Fig.1 shows a schematic representation of an embodiment of a system for identifying brain activity
  • Fig.2 shows a schematic representation of the electronic components of an embodiment of a system for identifying brain activity.
  • Fig. 1 shows a schematic representation of a wearable embodiment of a system 10 for identifying brain activity.
  • the system 10 mainly comprises a helmet 12, i.e. a supporting structure like a cap, with a plurality of amplified electrodes 14.
  • the amplified electrodes are e.g. attached to the supporting structure in accordance to the international 10-20 system and connected to a main elaboration unit 16 by means of a serial data communication link 18.
  • the main elaboration unit includes the data processing means, at least a part of the transmitter means and a battery pack.
  • An antenna 19 of the transmitter means can on the other hand be integrated into the helmet 12, the connection of the antenna 19 being realised by said serial data communication link 18.
  • the system 10 for identifying a brain activity communicates with a base station 20 connected to a user application 22, e.g. a computer, for controlling said user application by means of said identified mental state.
  • the communication is preferably implemented by a wireless link established between the system 10 and the base station 20.
  • Fig. 2 shows a schematic representation of the electronic components of an embodiment of a system for identifying brain activity.
  • These components mainly comprise an array 24 of amplified and electrodes 14, which are connected via a communication link 18 to a digital signal processor and its associated memory means 28.
  • the signal processor 26 processes the signals from said electrodes 14 and extracts the mental state to be identified.
  • the identified mental state is then communicated via a preferably wireless communication link 30 to a base station connected to a user application to be controlled.

Abstract

A system (10) for identifying brain activity, comprises a plurality of electrodes (14), said electrodes being arranged on a supporting structure (12) to be placed on a skull of a person, said electrodes (14) producing signals in accordance with the brainwaves of said person, amplifying means for amplifying the electrical signals sensed by said electrodes, data processing means (26) for processing said amplified signals, identifying a specific mental state from said signals and generating a signal indicative of said recognised mental state, and transmitter means for transmitting a signal corresponding to said identified mental state to a computer (22).

Description

System for detecting brain activity
Introduction
The present invention generally relates to a brain interface system, and in particular to a system for the acquisition, processing, and classification of brain activity based on measurements of on-line EEG signals.
In the field of monitoring brain activity the use of electroencephalograph devices (EEG's) is well known. EEG's are used to measure and record small electrical signals, which occur on the surface of the scalp as a result of brain activity. Typically, an EEG system includes a plurality of electrodes attached at selected positions on the subject's scalp, a corresponding number of lead wires, and a processing console. Typically, each electrode is connected to the processing console via a separate lead wire. The processing console is provided for signal selection, amplification, and conditioning. Also included in EEG systems are means for measuring electrode impedance, calibrating equipment, and observing and permanently recording data processed by the processing console.
It is well known that the processing console and the observation and recording equipment are often incorporated within a single unit. The single unit, however, is too large to be easily transportable by the subject under observation. Further, because long wires between the electrodes and the processing console are impractical, the subject must remain relatively stationary when using most available EEG systems. Some EEG systems have been developed to overcome the problem of the subject having to remain still during observation. These devices include portable recorders, which may be carried by the subject under observation. These systems do not, however, include means for contemporaneous observation of the record. It is well known that such observation is often desired. One method for making EEG measurements and contemporaneous observations more practical is to replace the wire links between the electrodes and the processing console with wireless links. Thus, situations such as those described above, i.e. when long wires might encumber other simultaneous attention needed by the subject or when the mobility of the subject might be impaired would be at least partially resolved.
Newer studies indicate that electroencephalogram signals are a reliable mirror of mental activity and accordingly could be used as an alternative means of interaction with computers. The aim is to recognise from on-line EEG signals a few mental states and have them associated to simple commands for the user application to be controlled, such as "move wheelchair straight", "stop" and so on. A system for identifying brain activity, e.g. a brain interface of this kind, only requires users to be conscious of their thoughts and to concentrate sufficiently on those few mental tasks associated to the commands. Any other EEG pattern different from those corresponding to these mental tasks will be associated with the command "nothing", which has no effect on the computer-based system. By composing pattern sequences, users can operate computer-based systems, such as reading a web page, interacting with games, turning on appliances, or guiding a wheelchair. The immediate application is to extend the capabilities of physically-disabled people and let them access to the new set of services and opportunities deriving from the information society.
For these applications however, the interface should permit robust recognition of EEG patterns outside laboratory settings. This presumes the existence of an appropriate EEG equipment that should be compact, easy-to-use, and suitable for deployment in natural environments.
Unfortunately, the state of the art EEG systems are only suitable to operate under laboratory settings since the transmitted data are subject to interference and a specific mental state is very difficult to identify from these noisy signals. One of the major problems is that the signals produced at the different electrodes on the head are quite weak. This has made it difficult, and sometimes impossible, to obtain meaningful information from the signals at different electrodes even when such electrodes are attached to a person's head and signals are produced at such electrodes and are transmitted to a computer for subsequent analysis. Another reason is that the equipment associated with such electrodes is quite bulky and cumbersome and, even though bulky and cumbersome, is still unable sometimes to provide meaningful information.
Object of the invention
The object of the present invention is to provide a system for recognising mental states, which is better suited for the task of operating under real-life conditions.
General description of the invention
In order to overcome the abovementioned problems, the present invention provides a system for identifying brain activity, comprising a plurality of electrodes, said electrodes being arranged on a supporting structure, e.g. a cap, to be placed on a skull of a person, said electrodes for producing signals in accordance with the brainwaves of said person, amplifying means for amplifying the electrical signals sensed by said electrodes, data processing means for processing said amplified signals, identifying a specific mental state from said signals and generating a signal indicative of said recognised mental state, and transmitter means for transmitting a signal corresponding to said identified mental state to a computer. The electrodes are preferably arranged on the supporting structure in such a way that, when placed on the skull of a person, the electrodes are placed in predetermined anatomical positions on the head of the person. The electrodes are e.g. attached to the supporting structure so that their location is in accordance with the international 10-20 system. The EEG data sensed by the electrodes is processed in the system itself and the mental state identified before transmission to a computer-controlled application. This means that only the detected state of mind has to be communicated to the computer, respectively the computer-controlled application. This of course minimises the influence of electromagnetic interference, which is a serious issue in prior art EEG systems.
Furthermore, all the electronic components of the system according to the invention can be implemented in an integrated circuit, which characterises by its small dimensions, its low weight and its low power consumption. Accordingly the elaboration unit of the proposed system stands out for its low dimensions and does not impede the freedom of movement of the user. Finally, due to the low power consumption, the system of the present invention can be battery powered, enabling a complete independence from line power and a good autonomy of the system. The powering by a battery pack bears the further advantage, that the system can be completely isolated from the 50/60 Hz interference of the line voltage.
All these factors make the system according to the present invention well suited for reliably operating in any environment.
In order to increase the comfort of the system, said amplifier means, said data processing means and said transmitter means can be incorporated in a wearable housing and preferably connected to said plurality of electrodes by means of a bi-directional power and data cable. The expression "wearable housing" means that said housing can be attached to the body of the user by means of a belt or the like. The housing further can contain the battery pack and comprise e.g. means for connecting a battery charger to said battery pack. The use of a bi-directionnal data and power reduces the number of individual connecting cables, thus reducing the overall weight of the system. In a preferred embodiment, said data processing means comprise filter means for filtering a signal pattern of a specific mental from said amplified signals. Said filter means are preferably user-specific.
In an other embodiment, the system for identifying brain activity comprises storage means for storing reference electrode signal patterns of the mental states to be recognised, wherein said data processing means compares the pattern of said amplified signal to the pattern stored in said storage means. In this case said reference electrode signal patterns are preferably user specific reference patterns.
In the two embodiments, the filter means respectively the means for comparing the sensed pattern to the reference pattern form a robust neural classifier, which is implemented at the user-worn system for reliably recognise the desired mental states. The use of user-specific reference patterns respectively user specific filter means renders the system adaptive insofar that it can be optimised for the recognition of the effectively produced pattern of the user in question. The main reason preventing the development of universal brain interfaces is that not two people are the same, both physiologically and psychologically. This means that the interface should be adapted to its owner, thus allowing every single user to choose his/her most natural mental tasks to concentrate on (e.g., relaxation, visualisation, music composition, arithmetic, preparation of movements). In this way, users can regularly generate those individual EEG patterns that are better distinguished by their adaptive brain interface. This of course reduces the training time for the user and greatly enhances the recognition rate of the desired mental states.
In a very advantageous variant, the amplifying means comprises pre-amplifying means, which are arranged on said supporting structure in the vicinity of said electrodes, said pre-amplifier means pre-amplifying said electrical signals from said electrodes. Amplifying the signal directly on the electrodes minimises the effects of electromagnetic interference.
The pre-amplifying means preferably comprise one pre-amplifier for each electrode, each pre-amplifier being mounted on and associated with a respec- tive electrode. Furthermore an analogue-to-digital converter (A/D converter) is advantageously associated with each pre-amplifier, for converting said amplified signal into a digital signal prior to communication of said signal to the data processing means. The A/D-converters can be connected to the data processing means by means of a bi-directional power and data cable. It has to be noted, that
In a preferred embodiment, said system further comprises receiver means for receiving data from a computer, said data comprising configuration settings for configuring adaptable parameters of said amplifying means and/or said data processing means and/or said transmitter means. It has to be noted that said transmitter means could comprise wireless transmitting means, e.g. infrared or radio frequency transmission means. Alternatively the transmission means can comprise a conventional serial cable link or an optical fibre link, which has the advantage, that the system is isolated from the computer and the associated application. It should be clear that these possibilities also apply for the receiver means. It will be appreciated that the present invention proposes a wearable system for complete analysis of brain activity. The system has a modular architecture and consists of a compact helmet with amplified EEG electrodes, on-board processing capabilities and flexible communication facilities. The hardware can easily be controlled by software that sets the suitable parameters. This allows the system to pre-process the data by hardware if necessary. Exploiting this option, some operations can be followed, e.g. removal of the 50/60 Hz electromagnetic interference, spatial filters, reference signal adaptation, monopolar and bipolar channel configuration etc. A suitable EEG-signal processing means for feature extraction and a robust neural classifier are implemented to reliably recognise the desired mental states.
The main advantages of the system according to the present invention include wearability, modularity and the analysis of the data at hardware level. Amplifying the signal directly on the electrodes minimises the effects of electromagnetic interference. This advantage, the small dimensions and the low weight allow the system to operate in any environment. An easy-to-use interface can be used to control the configuration of the system by software. The recognised mental states can be sent to the computer-controlled application through any communication method, e.g. conventional serial cable, optical fibre, infrared or radiof- requency transmission (e.g. bluetooth protocol), or other technologies to meet the specific needs.
Detailed description with respect to the figures
The present invention will be more apparent from the following description of a not limiting embodiment with reference to the attached drawings, wherein
Fig.1 : shows a schematic representation of an embodiment of a system for identifying brain activity; Fig.2: shows a schematic representation of the electronic components of an embodiment of a system for identifying brain activity.
Fig. 1 shows a schematic representation of a wearable embodiment of a system 10 for identifying brain activity. The system 10 mainly comprises a helmet 12, i.e. a supporting structure like a cap, with a plurality of amplified electrodes 14. The amplified electrodes are e.g. attached to the supporting structure in accordance to the international 10-20 system and connected to a main elaboration unit 16 by means of a serial data communication link 18. The main elaboration unit includes the data processing means, at least a part of the transmitter means and a battery pack. An antenna 19 of the transmitter means can on the other hand be integrated into the helmet 12, the connection of the antenna 19 being realised by said serial data communication link 18.
The system 10 for identifying a brain activity communicates with a base station 20 connected to a user application 22, e.g. a computer, for controlling said user application by means of said identified mental state. The communication is preferably implemented by a wireless link established between the system 10 and the base station 20.
Fig. 2 shows a schematic representation of the electronic components of an embodiment of a system for identifying brain activity. These components mainly comprise an array 24 of amplified and electrodes 14, which are connected via a communication link 18 to a digital signal processor and its associated memory means 28. The signal processor 26 processes the signals from said electrodes 14 and extracts the mental state to be identified. The identified mental state is then communicated via a preferably wireless communication link 30 to a base station connected to a user application to be controlled.

Claims

Claims
1. System for identifying brain activity, comprising a plurality of electrodes, said electrodes being arranged on a supporting structure to be placed on a skull of a person, said electrodes for producing signals in accordance with the brainwaves of said person amplifying means for amplifying the electrical signals sensed by said electrodes, data processing means for processing said amplified signals, identifying a specific mental state from said signals and generating a signal indicative of said recognised mental state and transmitter means for transmitting a signal corresponding to said identified mental state to a computer.
2. System for identifying brain activity according to claim 1 , wherein said data processing means comprise filter means for filtering a signal pattern of a specific mental from said amplified signals.
3. System according to claim 2, wherein said filter means are user-specific.
4. System for identifying brain activity according to any one of claims 1 to 3, comprising storage means for storing reference electrode signal patterns of the mental states to be recognised, wherein said data processing means compares the pattern of said amplified signal to the pattern stored in said storage means.
5. System for identifying brain activity according to claim 4, wherein said reference electrode signal patterns are user specific reference patterns.
6. System for identifying brain activity according to any one of claims 1 to 5, wherein said amplifying means comprise pre-amplifying means, said pre- amplifying means being arranged on said supporting structure in the vicinity of said electrodes, said pre-amplifier means amplifying said electrical signals from said electrodes.
7. System for identifying brain activity according to claim 6, wherein said pre- amplifying means comprise one pre-amplifier for each electrode, each preamplifier being mounted on and associated with a respective electrode.
8. System for identifying brain activity according to claim 7, wherein an analogue-to-digital converter is associated with each pre-amplifier for converting said amplified signal into a digital signal.
9. System for identifying brain activity according to claim 8, wherein said analogue-to-digital converters are connected to said data processing means by means of a bi-directional power and data cable.
10. System for identifying brain activity according to any one of the preceding claims, wherein said amplifier means, said data processing means and said transmitter means are incorporated in a wearable housing and connected to said plurality of electrodes by means of a bi-directional power and data cable.
11. System for identifying brain activity according to any one of the preceding claims, comprising receiver means for receiving data from a computer, said data comprising configuration settings for configuring adaptable parameters of said amplifying means and/or said data processing means and/or said transmitter means.
12. System for identifying brain activity according to any one of the preceding claims, wherein said transmitter means comprise wireless transmitting means.
13. System for identifying brain activity according to any one of the preceding claims, wherein said supporting structure is a cap.
EP01940462A 2000-05-16 2001-05-11 System for detecting brain activity Expired - Lifetime EP1284646B1 (en)

Applications Claiming Priority (3)

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LU90582 2000-05-16
LU90582A LU90582B1 (en) 2000-05-16 2000-05-16 System for identifying brain activity
PCT/EP2001/005422 WO2001087153A1 (en) 2000-05-16 2001-05-11 System for detecting brain activity

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EP1284646B1 EP1284646B1 (en) 2006-02-22

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EP (1) EP1284646B1 (en)
JP (1) JP2003533262A (en)
AT (1) ATE318105T1 (en)
AU (1) AU7402901A (en)
CA (1) CA2408520A1 (en)
DE (1) DE60117380T2 (en)
LU (1) LU90582B1 (en)
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WO (1) WO2001087153A1 (en)

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DE60117380T2 (en) 2006-11-09
NO20025262D0 (en) 2002-11-01
EP1284646B1 (en) 2006-02-22
DE60117380D1 (en) 2006-04-27
ATE318105T1 (en) 2006-03-15
CA2408520A1 (en) 2001-11-22
JP2003533262A (en) 2003-11-11
US20030171689A1 (en) 2003-09-11
AU7402901A (en) 2001-11-26
WO2001087153A1 (en) 2001-11-22
NO20025262L (en) 2002-11-01
LU90582B1 (en) 2001-11-19

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